A voice-first multimodal dictation note synthesizer that converts audio streams to formatted markdown notes with transcription accuracy metrics and speaker identification
This server has a single tool with critical definition gaps. The tool name 'synthesize_voice_note' is acceptable (verb_noun pattern), but the description is vague and lacks actionable context. Input schema exists but is severely underdeveloped: 'audio_stream_data' is typed as string with minimal guidance on format/encoding; 'language' has a default but no enum constraint or validation rules. No output schema is documented, the response structure is inferred from example_usage.py, not formally declared. No error handling, no recovery guidance, no parameter validation rules. The implementation is a mock stub returning hardcoded data, not a real integration. This is a proof-of-concept, not production-ready.
Synthesizes a formatted markdown note from audio stream data with transcription accuracy and speaker identification
No output schema documented. Response structure (formatted_note_md, transcription_accuracy, speaker_tags) is inferred from example code, not formally declared. LLMs cannot plan downstream operations without knowing return types.
Tool description (95 chars) lacks WHEN to use it and prerequisites. Does not explain what 'audio_stream_data' format is (WAV? MP3? Base64? Raw bytes?). No mention of supported languages beyond 'en' default.
Parameter 'audio_stream_data' typed as string with no format guidance. Is it base64-encoded? Raw binary as string? File path? LLMs will guess and fail. Needs explicit format constraint and example.
Parameter 'language' has default 'en' but no enum of supported languages. LLMs may pass invalid codes like 'english' or 'en-US' without validation. Needs explicit enum: ['en', 'es', 'fr', ...].
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 29 | 2026-07-28+ | v2 |
No error handling or recovery guidance. What happens if audio is corrupted? Language unsupported? Transcription fails? No error messages to guide LLM retry or fallback.